Bulletin of Electrical Engineering and Informatics
Vol 14, No 1: February 2025

Fuzzy logic method for making push notifications on monitoring system of IoT-based electric truck charging

Al Madani Kurniawan, Aqsha (Unknown)
Khaula Amifia, Lora (Unknown)
Iskandar Riansyah, Moch. (Unknown)
Furizal, Furizal (Unknown)
Suwarno, Iswanto (Unknown)
Ma’arif, Alfian (Unknown)
Maghfiroh, Hari (Unknown)



Article Info

Publish Date
01 Feb 2025

Abstract

To minimize the negligence when charging electric vehicles, it is deemed important to have an internet of things (IoT) based monitoring system using a notification feature. The monitoring system of electric vehicle battery charging used a voltage divider and temperature sensor (DS18B20) installed on the Arduino Mega 2560 microcontroller with the addition of an ESP8266 Wi-Fi module for sending microcontroller data into the Blynk platform. A notification feature was added as the reminder that the battery has been overcharging or overheating. This study applied the Mamdani fuzzy logic method to determine the conditions when notifications must appear. The results of the application of the Mamdani fuzzy logic method were able to determine the conditions for push notifications to appear using the parameters as desired; by so doing, it is possible to create a battery monitoring system with accurate push notification feature to prevent the battery from being overcharged and overheated.

Copyrights © 2025






Journal Info

Abbrev

EEI

Publisher

Subject

Electrical & Electronics Engineering

Description

Bulletin of Electrical Engineering and Informatics (Buletin Teknik Elektro dan Informatika) ISSN: 2089-3191, e-ISSN: 2302-9285 is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the ...